Evidence map›Paper›PMID 38315297›Full record

ArticleClinical rheumatology2024

Association between anthropometric indices and hyperuricemia: a nationwide study in China.

Deshi Chen, Cihang Lu, Kang Chen, Tingting Liu, Yongze Li, Zhongyan Shan, Weiping Teng, Thyroid disorders, Iodine status and Diabetes Epidemiological Survey Group (TIDE)

Abstract read
PubMed Publisher
In one paragraph

Article in Clinical rheumatology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 1 pooled it
5.8field-weighted citation impact, top 3% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

16 citing papers in PubMed, 1 synthesis or guideline pooled it, 17 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors at 1 institution in 1 country.

Deshi Chen *The First Hospital of China Medical University, No. 155, Nanjing Bei Street, Shenyang, People's Republic of China.
Cihang Lu *The First Hospital of China Medical University, No. 155, Nanjing Bei Street, Shenyang, People's Republic of China.
Kang ChenThe First Hospital of China Medical University, No. 155, Nanjing Bei Street, Shenyang, People's Republic of China. akanger@sina.com.ORCID http://orcid.org/0009-0009-0541-6703
Tingting LiuThe First Hospital of China Medical University, No. 155, Nanjing Bei Street, Shenyang, People's Republic of China.
Yongze LiThe First Hospital of China Medical University, No. 155, Nanjing Bei Street, Shenyang, People's Republic of China.
Zhongyan ShanThe First Hospital of China Medical University, No. 155, Nanjing Bei Street, Shenyang, People's Republic of China.
Weiping TengThe First Hospital of China Medical University, No. 155, Nanjing Bei Street, Shenyang, People's Republic of China.
Thyroid disorders, Iodine status and Diabetes Epidemiological Survey Group (TIDE)
First Hospital of China Medical University · CN

Funding

Key Laboratory of Reproduction Regulation of National Population and Family Planning Commission 201402005
6 · The paper itself

Abstract

This article explored the relationship between anthropometric indices and hyperuricemia in Chinese adults. The ability of each anthropometric index to predict hyperuricemia was also compared in this article. This is a cross-sectional study containing 69,842 samples from 31 provinces and cities in China. Anthropometric indices included body mass index (BMI), waist circumference (WC), a body shape index (ABSI), body roundness index (BRI), waist-to-height ratio (WHtR), lipid accumulation product (LAP), visceral adiposity index (VAI), triglyceride-glucose index (TyG), waist circumference-triglyceride index (WTI), and weight-adjusted waist index (WWI). The survey data obtained were disaggregated and analyzed according to sex and age. BMI, WC, BRI, WHtR, LAP, VAI, TyG, WTI, and WWI were all significantly associated with hyperuricemia (P < 0.001). In the total population, WTI (AUC 0.7015, P < 0.001) had the highest predictive power, and WWI (AUC 0.5417, P < 0.001) had the lowest. In addition, after dividing the male and female populations, LAP (AUC 0.6571, P < 0.001 for men; AUC 0.7326, P < 0.001 for women) had the highest predictive power among both men and women. The ABSI (AUC 0.5189, P < 0.001 for men; AUC 0.5788, P < 0.001 for women) had the lowest predictive power among both men and women. BMI, WC, BRI, WHtR, LAP, VAI, TyG, and WTI were positively correlated with the risk of hyperuricemia and serum uric acid concentrations in both sexes. Among the general population, WTI had the highest predictive power. After dividing the population by sex, LAP had the highest predictive power in both men and women. Key Points • Anthropometric indices are highly correlated with hyperuricemia. Waist circumference-triglyceride index (WTI) is first found to be associated with hyperuricemia, and it has high predictive power. • The predictive power of anthropometric indices for hyperuricemia is more useful in women. • The restricted cubic splines visually shows the ratio of anthropometric indices to hyperuricemia ratio and the patient's serum uric acid concentration.

Indexed as

HyperuricemiaObesityAdultBody Mass IndexChinaCross-Sectional StudiesFemaleHumansMaleRisk FactorsTriglyceridesUric AcidWaist CircumferenceTriglyceridesUric AcidAnthropometric indicesHyperuricemiaLipid accumulation productUric acidWaist circumference-triglyceride index

Identifiers

PMID38315297
OpenAlexW4391530262

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.